Nice (NICE) Sales of Property, Plant and Equipment (2009 - 2016)
Nice's Sales of Property, Plant and Equipment was $18,000 in the quarter ended Mar 31, 2016, up 350.0% from the prior quarter.
Powered by 
Analysis
Nice (NICE) Sales of Property, Plant and Equipment (2009 - 2016) Analysis & Trends
On a trailing twelve-month basis, Nice's Sales of Property, Plant and Equipment was $107.28 million through Mar 31, 2016; for the year ended Dec 31, 2015, it was $4,000, down 100.0% from the prior year.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of -21.0% (years ended Dec 2010 to Dec 2015).
- In earlier years, Sales of Property, Plant and Equipment was $107.33 million in the year ended Dec 31, 2014 (+97.2%), $54.42 million in the year ended Dec 31, 2013, $1.01 million in the year ended Dec 31, 2012 and $84,000 in the year ended Dec 31, 2011 (+546.2%).
- The figure for the quarter ended Mar 31, 2016 marks the highest quarterly Sales of Property, Plant and Equipment since the quarter ended Dec 31, 2014.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in three of the last five quarters, with growth averaging 73.0%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was the quarter ended Sep 30, 2011 (growth of 440.0%); the worst was the quarter ended Dec 31, 2015 (a decline of 100.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | - |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | - |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | - |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | - |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | - |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | - |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 18,000.00 |
| Dec 31, 2015 | 4,000.00 |
| Sep 30, 2015 | 4,000.00 |
| Dec 31, 2014 | 107.26 Mn |
| Sep 30, 2014 | 36,000.00 |
| Jun 30, 2014 | 20,000.00 |
| Mar 31, 2014 | 16,000.00 |
| Dec 31, 2013 | 54.39 Mn |
| Sep 30, 2013 | 23,000.00 |
| Jun 30, 2013 | 4,000.00 |
| Mar 31, 2013 | 4,000.00 |
| Dec 31, 2012 | -1.98 Mn |
| Sep 30, 2012 | 1.01 Mn |
| Jun 30, 2012 | 1.01 Mn |
| Mar 31, 2012 | 970,000.00 |
| Sep 30, 2011 | 81,000.00 |
| Jun 30, 2011 | 19,000.00 |
| Dec 31, 2010 | -21.03 Mn |
| Sep 30, 2010 | 15,000.00 |
| Jun 30, 2010 | 10,000.00 |
API Access
Nice Sales of Property, Plant and Equipment API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=NICE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "NICE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=NICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();